poly2ac() - Signal Processing

r = poly2ac(a,efinal) returns
the autocorrelation vector, r, corresponding to
the autoregressive prediction filter polynomial, a,
and the final prediction error, efinal. r is
approximately equal to the autocorrelation of the output of a prediction
filter with coefficients a. If a(1) is
not equal to 1, poly2ac normalizes the prediction
filter polynomial by a(1). a(1) cannot
be 0.

Syntax

r = poly2ac(a,efinal)

Example

Autocorrelation Sequence from Prediction FilterOpen This Example
Given a prediction filter polynomial, a, and a final prediction error, efinal, find the autocorrelation sequence.
a = [1.0000 0.6147 0.9898 0.0004 0.0034 -0.0077];
efinal = 0.2;
r = poly2ac(a,efinal)

r =

    5.5917
   -1.7277
   -4.4231
    4.3985
    1.6426
   -5.3126

Output / Return Value

Limitations

Alternatives / See Also

Reference